local_ep_pretrain=( '20' '40' '80' )
local_ep=('1' '2' '4' )
flag=('4' )

((i = 0))


for ep in ${local_ep_pretrain[@]}; do
for lep in ${local_ep[@]}; do
for fl in ${flag[@]}; do



  python ./main_sdm_new_np_mk678_2.py --dataset mnist --label_number 8 --DO_perlabel 4 --num_users 64 --model cnn  --num_classes 10 --local_ep_pretrain ${ep} --epochs 100 --lr 0.01 --shard_per_user 2 --frac 0.5 --local_ep ${lep} --local_bs 10 --num_layers_keep 3 --results_save run106 --load_fed best_1200.pt --flag ${fl} --iid > log_678_exp3_${ep}_${lep}_${fl} &

 


done
done
done
